Search (241 results, page 1 of 13)

  • × theme_ss:"Internet"
  • × year_i:[2010 TO 2020}
  1. Andrade, T.C.; Dodebei, V.: Traces of digitized newspapers and bom-digital news sites : a trail to the memory on the internet (2016) 0.09 
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    Date
    19. 1.2019 17:42:22
    Source
    Knowledge organization for a sustainable world: challenges and perspectives for cultural, scientific, and technological sharing in a connected society : proceedings of the Fourteenth International ISKO Conference 27-29 September 2016, Rio de Janeiro, Brazil / organized by International Society for Knowledge Organization (ISKO), ISKO-Brazil, São Paulo State University ; edited by José Augusto Chaves Guimarães, Suellen Oliveira Milani, Vera Dodebei
    Type
    a
  2. Schultz, S.: ¬Die eine App für alles : Mobile Zukunft in China (2016) 0.03 
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    Date
    22. 6.2018 14:22:02
    Source
    http://www.spiegel.de/wirtschaft/unternehmen/messenger-apps-wie-china-die-mobile-zukunft-erfindet-a-1071815.html
  3. Breton, P.: ¬The culture of the Internet and the Internet as cult : social fears and religious fantasies (2011) 0.03 
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    Abstract
    In this book, French author Philippe Breton looks at the Internet and the culture surrounding it through the lens of its cultural background. Central in his insightful analysis of "the Internet as cult" are Teilhard de Chardin and the New Age, but he looks also at the fears, passions and pathologies of Alan Turing and Norbert Wiener, the imagined worlds of Isaac Asimov, William Gibson, J.G. Ballard and Timothy Leary, the prognostications and confessions of Bill Gates, Nicolas Negroponte and Bill Joy, and the philosophies of Saint-Simon, McLuhan and Pierre Lévy. Dreams of a transparent and unmediated world, a world in which neither time nor space are relevant, a world without violence, without law, without a distinction between the public and the private, Breton contrasts with the reality of propaganda, computer viruses and surveillance, the world in which "sociality in the sense of mutuality disappears in favor of interactivity," where "experience with another and with the world in general is replaced by brief reactionary relations that hardly engage us at all."
    Footnote
    Originaltitel: Le culte de l'Internet : une menace pour le lien social? (1999). Rez. in: ZfBB 58(2011) H.3/4, S.239-240 (U. Jochum)
  4. Lorca, P.; Andrées, J. de; Martínez, A.B.: Size and culture as determinants of the web policy of listed firms : the case of web accessibility in Western European countries (2012) 0.02 
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    Abstract
    Web accessibility (WA) is an innovation in Web design; it can be considered as part of the corporate social responsibility (CSR) strategy of the firms. As adoption of innovations and CSR commitment are linked with firm size and national culture/legislation, we hypothesize that size and national culture/legislation, may have an effect on WA level. The authors studied an international sample made up of companies included in EUROSTOXX600 (The STOXX Europe 600 Index). The main results suggest that both size and culture have a significant effect on WA. Large firms as well as Anglo-Saxon companies are more prone to have higher WA levels. A deeper analysis, which was done through the estimation of quantile regression equations, showed that the influence of size is significant for companies trying to excel or for those trying to avoid the worst WA. However, the effect of size is significant only in the lowest part of the conditional distribution.
    Type
    a
  5. Landwehr, A.: China schafft digitales Punktesystem für den "besseren" Menschen (2018) 0.02 
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    Date
    22. 6.2018 14:29:46
    Type
    a
  6. Egbert, J.; Biber, D.; Davies, M.: Developing a bottom-up, user-based method of web register classification (2015) 0.02 
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    Abstract
    This paper introduces a project to develop a reliable, cost-effective method for classifying Internet texts into register categories, and apply that approach to the analysis of a large corpus of web documents. To date, the project has proceeded in 2 key phases. First, we developed a bottom-up method for web register classification, asking end users of the web to utilize a decision-tree survey to code relevant situational characteristics of web documents, resulting in a bottom-up identification of register and subregister categories. We present details regarding the development and testing of this method through a series of 10 pilot studies. Then, in the second phase of our project we applied this procedure to a corpus of 53,000 web documents. An analysis of the results demonstrates the effectiveness of these methods for web register classification and provides a preliminary description of the types and distribution of registers on the web.
    Date
    4. 8.2015 19:22:04
    Type
    a
  7. Oguz, F.; Koehler, W.: URL decay at year 20 : a research note (2016) 0.02 
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    Abstract
    All text is ephemeral. Some texts are more ephemeral than others. The web has proved to be among the most ephemeral and changing of information vehicles. The research note revisits Koehler's original data set after about 20 years since it was first collected. By late 2013, the number of URLs responding to a query had fallen to 1.6% of the original sample. A query of the 6 remaining URLs in February 2015 showed only 2 still responding.
    Date
    22. 1.2016 14:37:14
    Type
    a
  8. Bandaragoda, T.R.; Silva, D. de; Alahakoon, D.: Automatic event detection in microblogs using incremental machine learning (2017) 0.02 
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    Abstract
    The global popularity of microblogs has led to an increasing accumulation of large volumes of text data on microblogging platforms such as Twitter. These corpora are untapped resources to understand social expressions on diverse subjects. Microblog analysis aims to unlock the value of such expressions by discovering insights and events of significance hidden among swathes of text. Besides velocity; diversity of content, brevity, absence of structure and time-sensitivity are key challenges in microblog analysis. In this paper, we propose an unsupervised incremental machine learning and event detection technique to address these challenges. The proposed technique separates a microblog discussion into topics to address the key problem of diversity. It maintains a record of the evolution of each topic over time. Brevity, time-sensitivity and unstructured nature are addressed by these individual topic pathways which contribute to generate a temporal, topic-driven structure of a microblog discussion. The proposed event detection method continuously monitors these topic pathways using multiple domain-independent event indicators for events of significance. The autonomous nature of topic separation, topic pathway generation, new topic identification and event detection, appropriates the proposed technique for extensive applications in microblog analysis. We demonstrate these capabilities on tweets containing #microsoft and tweets containing #obama.
    Type
    a
  9. Facets of Facebook : use and users (2016) 0.02 
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    Abstract
    The debate on Facebook raises questions about the use and users of this information service. This collected volume gathers a broad spectrum of social science and information science articles about Facebook.Facebook has many facets, and we just look forward above all to the use and users. The facet of users has sub-facets, such as different age, sex, and culture. The facet of use consists of sub-facets of privacy behavior after the Snowden affair, dealing with friends, unfriending and becoming unfriended on Facebook, and possible Facebook addiction. We also consider Facebook as a source for local temporary history and respond to acceptance and quality perceptions of this social network service, as well. This book brings together all the contributions of research facets on Facebook. It is a much needed compilation written by leading scholars in the fields of investigation of the impact of Web 2.0. The target groups are social media researchers, information scientists and social scientists, and also all those who take to Facebook topics.
    Imprint
    Berlin : De Gruyter
  10. Okoli, C.; Mehdi, M.; Mesgari, M.; Nielsen, F.A.; Lanamäki, A.: Wikipedia in the eyes of its beholders : a systematic review of scholarly research on Wikipedia readers and readership (2014) 0.02 
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    Abstract
    Hundreds of scholarly studies have investigated various aspects of Wikipedia. Although a number of literature reviews have provided overviews of this vast body of research, none has specifically focused on the readers of Wikipedia and issues concerning its readership. In this systematic literature review, we review 99 studies to synthesize current knowledge regarding the readership of Wikipedia and provide an analysis of research methods employed. The scholarly research has found that Wikipedia is popular not only for lighter topics such as entertainment but also for more serious topics such as health and legal information. Scholars, librarians, and students are common users, and Wikipedia provides a unique opportunity for educating students in digital literacy. We conclude with a summary of key findings, implications for researchers, and implications for the Wikipedia community.
    Date
    18.11.2014 13:22:03
    Type
    a
  11. Arbelaitz, O.; Martínez-Otzeta. J.M.; Muguerza, J.: User modeling in a social network for cognitively disabled people (2016) 0.02 
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    Abstract
    Online communities are becoming an important tool in the communication and participation processes in our society. However, the most widespread applications are difficult to use for people with disabilities, or may involve some risks if no previous training has been undertaken. This work describes a novel social network for cognitively disabled people along with a clustering-based method for modeling activity and socialization processes of its users in a noninvasive way. This closed social network is specifically designed for people with cognitive disabilities, called Guremintza, that provides the network administrators (e.g., social workers) with two types of reports: summary statistics of the network usage and behavior patterns discovered by a data mining process. Experiments made in an initial stage of the network show that the discovered patterns are meaningful to the social workers and they find them useful in monitoring the progress of the users.
    Date
    22. 1.2016 12:02:26
    Type
    a
  12. Thelwall, M.; Buckley, K.; Paltoglou, G.: Sentiment in Twitter events (2011) 0.02 
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    Abstract
    The microblogging site Twitter generates a constant stream of communication, some of which concerns events of general interest. An analysis of Twitter may, therefore, give insights into why particular events resonate with the population. This article reports a study of a month of English Twitter posts, assessing whether popular events are typically associated with increases in sentiment strength, as seems intuitively likely. Using the top 30 events, determined by a measure of relative increase in (general) term usage, the results give strong evidence that popular events are normally associated with increases in negative sentiment strength and some evidence that peaks of interest in events have stronger positive sentiment than the time before the peak. It seems that many positive events, such as the Oscars, are capable of generating increased negative sentiment in reaction to them. Nevertheless, the surprisingly small average change in sentiment associated with popular events (typically 1% and only 6% for Tiger Woods' confessions) is consistent with events affording posters opportunities to satisfy pre-existing personal goals more often than eliciting instinctive reactions.
    Date
    22. 1.2011 14:27:06
    Type
    a
  13. Boss, C.: Konzeption und Aufbereitung kuratierter Twitter-Listen als Recherchewerkzeug (2017) 0.02 
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    Footnote
    Vgl.: www.info7.de/info7_2017-2_S-36-51.pdf.
    Type
    a
  14. Bhatia, S.; Biyani, P.; Mitra, P.: Identifying the role of individual user messages in an online discussion and its use in thread retrieval (2016) 0.02 
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    Abstract
    Online discussion forums have become a popular medium for users to discuss with and seek information from other users having similar interests. A typical discussion thread consists of a sequence of posts posted by multiple users. Each post in a thread serves a different purpose providing different types of information and, thus, may not be equally useful for all applications. Identifying the purpose and nature of each post in a discussion thread is thus an interesting research problem as it can help in improving information extraction and intelligent assistance techniques. We study the problem of classifying a given post as per its purpose in the discussion thread and employ features based on the post's content, structure of the thread, behavior of the participating users, and sentiment analysis of the post's content. We evaluate our approach on two forum data sets belonging to different genres and achieve strong classification performance. We also analyze the relative importance of different features used for the post classification task. Next, as a use case, we describe how the post class information can help in thread retrieval by incorporating this information in a state-of-the-art thread retrieval model.
    Date
    22. 1.2016 11:50:46
    Type
    a
  15. Dalip, D.H.; Gonçalves, M.A.; Cristo, M.; Calado, P.: ¬A general multiview framework for assessing the quality of collaboratively created content on web 2.0 (2017) 0.02 
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    Abstract
    User-generated content is one of the most interesting phenomena of current published media, as users are now able not only to consume, but also to produce content in a much faster and easier manner. However, such freedom also carries concerns about content quality. In this work, we propose an automatic framework to assess the quality of collaboratively generated content. Quality is addressed as a multidimensional concept, modeled as a combination of independent assessments, each regarding different quality dimensions. Accordingly, we adopt a machine-learning (ML)-based multiview approach to assess content quality. We perform a thorough analysis of our framework on two different domains: Questions and Answer Forums and Collaborative Encyclopedias. This allowed us to better understand when and how the proposed multiview approach is able to provide accurate quality assessments. Our main contributions are: (a) a general ML multiview framework that takes advantage of different views of quality indicators; (b) the improvement (up to 30%) in quality assessment over the best state-of-the-art baseline methods; (c) a thorough feature and view analysis regarding impact, informativeness, and correlation, based on two distinct domains.
    Date
    16.11.2017 13:04:22
    Type
    a
  16. Dufour, C.; Bartlett, J.C.; Toms, E.G.: Understanding how webcasts are used as sources of information (2011) 0.02 
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    Abstract
    Webcasting systems were developed to provide remote access in real-time to live events. Today, these systems have an additional requirement: to accommodate the "second life" of webcasts as archival information objects. Research to date has focused on facilitating the production and storage of webcasts as well as the development of more interactive and collaborative multimedia tools to support the event, but research has not examined how people interact with a webcasting system to access and use the contents of those archived events. Using an experimental design, this study examined how 16 typical users interact with a webcasting system to respond to a set of information tasks: selecting a webcast, searching for specific information, and making a gist of a webcast. Using several data sources that included user actions, user perceptions, and user explanations of their actions and decisions, the study also examined the strategies employed to complete the tasks. The results revealed distinctive system-use patterns for each task and provided insights into the types of tools needed to make webcasting systems better suited for also using the webcasts as information objects.
    Date
    22. 1.2011 14:16:14
    Type
    a
  17. Evans, H.K.; Ovalle, J.; Green, S.: Rockin' robins : do congresswomen rule the roost in the Twittersphere? (2016) 0.02 
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    Abstract
    Recent work by Evans, Cordova, and Sipole (2014) reveals that in the two months leading up to the 2012 election, female House candidates used the social media site Twitter more often than male candidates. Not only did female candidates tweet more often, but they also spent more time attacking their opponents and discussing important issues in American politics. In this article, we examine whether the female winners of those races acted differently than the male winners in the 2012 election, and whether they differed in their tweeting-style during two months in the summer of 2013. Using a hand-coded content analysis of every tweet from each member in the U.S. House of Representatives in June and July of 2013, we show that women differ from their male colleagues in their frequency and type of tweeting, and note some key differences between the period during the election and the period after. This article suggests that context greatly affects representatives' Twitter-style.
    Date
    22. 1.2016 11:51:19
    Type
    a
  18. Bizer, C.; Mendes, P.N.; Jentzsch, A.: Topology of the Web of Data (2012) 0.02 
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    Abstract
    The degree of structure of Web content is the determining factor for the types of functionality that search engines can provide. The more well structured the Web content is, the easier it is for search engines to understand Web content and provide advanced functionality, such as faceted filtering or the aggregation of content from multiple Web sites, based on this understanding. Today, most Web sites are generated from structured data that is stored in relational databases. Thus, it does not require too much extra effort for Web sites to publish this structured data directly on the Web in addition to HTML pages, and thus help search engines to understand Web content and provide improved functionality. An early approach to realize this idea and help search engines to understand Web content is Microformats, a technique for markingup structured data about specific types on entities-such as tags, blog posts, people, or reviews-within HTML pages. As Microformats are focused on a few entity types, the World Wide Web Consortium (W3C) started in 2004 to standardize RDFa as an alternative, more generic language for embedding any type of data into HTML pages. Today, major search engines such as Google, Yahoo, and Bing extract Microformat and RDFa data describing products, reviews, persons, events, and recipes from Web pages and use the extracted data to improve the user's search experience. The search engines have started to aggregate structured data from different Web sites and augment their search results with these aggregated information units in the form of rich snippets which combine, for instance, data This chapter gives an overview of the topology of the Web of Data that has been created by publishing data on the Web using the microformats RDFa, Microdata and Linked Data publishing techniques.
    Source
    Semantic search over the Web. Eds.: R. De Virgilio, et al
  19. Bhattacharya, S.; Yang, C.; Srinivasan, P.; Boynton, B.: Perceptions of presidential candidates' personalities in twitter (2016) 0.02 
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    Abstract
    Political sentiment analysis using social media, especially Twitter, has attracted wide interest in recent years. In such research, opinions about politicians are typically divided into positive, negative, or neutral. In our research, the goal is to mine political opinion from social media at a higher resolution by assessing statements of opinion related to the personality traits of politicians; this is an angle that has not yet been considered in social media research. A second goal is to contribute a novel retrieval-based approach for tracking public perception of personality using Gough and Heilbrun's Adjective Check List (ACL) of 110 terms describing key traits. This is in contrast to the typical lexical and machine-learning approaches used in sentiment analysis. High-precision search templates developed from the ACL were run on an 18-month span of Twitter posts mentioning Obama and Romney and these retrieved more than half a million tweets. For example, the results indicated that Romney was perceived as more of an achiever and Obama was perceived as somewhat more friendly. The traits were also aggregated into 14 broad personality dimensions. For example, Obama rated far higher than Romney on the Moderation dimension and lower on the Machiavellianism dimension. The temporal variability of such perceptions was explored.
    Date
    22. 1.2016 11:25:47
    Type
    a
  20. Hartmann, B.: Ab ins MoMA : zum virtuellen Museumsgang (2011) 0.01 
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    Date
    3. 5.1997 8:44:22
    Type
    a

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